🔗 Correlation

Correlation is just Covariance put on a standardized scale from -1.0 to 1.0.

📏 The Scale

• +1.0: Perfect Positive lockstep.
• -1.0: Perfect Negative lockstep.
• 0.0: Pure random noise.

🐍 Python Implementation

pandas makes finding correlations across a whole dataset incredibly easy!

import pandas as pd

data = {
    'Ice_Cream': [10, 20, 30, 40],
    'Sunburns':  [2, 4, 6, 8],
    'Coats':     [100, 80, 50, 20]
}
df = pd.DataFrame(data)

# Calculate Correlation Matrix
print(df.corr())

# Notice Ice_Cream and Coats have a negative correlation near -1.0!